NoiseSPY: A Real-Time Mobile Phone Platform for Urban Noise Monitoring and Mapping
E. Kanjo.
Mobile Networks and Applications 15 (4): 562--574 (Август 2010)

In this paper we present the design, implementation, evaluation, and user experiences of the NoiseSpy application, our sound sensing system that turns the mobile phone into a low-cost data logger for monitoring environmental noise. It allows users to explore a city area while collaboratively visualizing noise levels in real-time. The software combines the sound levels with GPS data in order to generate a map of sound levels that were encountered during a journey. We report early findings from the trials which have been carried out by cycling couriers who were given Nokia mobile phones equipped with the NoiseSpy software to collect noise data around Cambridge city. Indications are that, not only is the functionality of this personal environmental sensing tool engaging for users, but aspects such as personalization of data, contextual information, and reflection upon both the data and its collection, are important factors in obtaining and retaining their interest.

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http://dx.doi.org/10.1007/s11036-009-0217-y

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@article{kanjo2010noisespy,
  abstract = {In this paper we present the design, implementation, evaluation, and user experiences of the NoiseSpy application, our sound sensing system that turns the mobile phone into a low-cost data logger for monitoring environmental noise. It allows users to explore a city area while collaboratively visualizing noise levels in real-time. The software combines the sound levels with GPS data in order to generate a map of sound levels that were encountered during a journey. We report early findings from the trials which have been carried out by cycling couriers who were given Nokia mobile phones equipped with the NoiseSpy software to collect noise data around Cambridge city. Indications are that, not only is the functionality of this personal environmental sensing tool engaging for users, but aspects such as personalization of data, contextual information, and reflection upon both the data and its collection, are important factors in obtaining and retaining their interest.},
  acmid = {1831011},
  added-at = {2012-12-14T11:36:33.000+0100},
  address = {Hingham, MA, USA},
  author = {Kanjo, Eiman},
  biburl = {https://puma.uni-kassel.de/bibtex/2387ebc6472794f598d07256a45f3d9b7/jaeschke},
  doi = {10.1007/s11036-009-0217-y},
  interhash = {12b29df257d71dfd37193d6b4665004e},
  intrahash = {387ebc6472794f598d07256a45f3d9b7},
  issn = {1383-469X},
  issue_date = {August    2010},
  journal = {Mobile Networks and Applications},
  keywords = {collective intelligence mobile monitor noise noisespy phone pollution real-time sensing social stair urban},
  month = aug,
  number = 4,
  numpages = {13},
  pages = {562--574},
  publisher = {Kluwer Academic Publishers},
  timestamp = {2012-12-14T11:39:27.000+0100},
  title = {NoiseSPY: A Real-Time Mobile Phone Platform for Urban Noise Monitoring and Mapping},
  url = {http://dx.doi.org/10.1007/s11036-009-0217-y},
  volume = 15,
  year = 2010
}

%0 Journal Article
%1 kanjo2010noisespy
%A Kanjo, Eiman
%C Hingham, MA, USA
%D 2010
%I Kluwer Academic Publishers
%J Mobile Networks and Applications
%K collective intelligence mobile monitor noise noisespy phone pollution real-time sensing social stair urban
%N 4
%P 562--574
%R 10.1007/s11036-009-0217-y
%T NoiseSPY: A Real-Time Mobile Phone Platform for Urban Noise Monitoring and Mapping
%U http://dx.doi.org/10.1007/s11036-009-0217-y
%V 15
%X In this paper we present the design, implementation, evaluation, and user experiences of the NoiseSpy application, our sound sensing system that turns the mobile phone into a low-cost data logger for monitoring environmental noise. It allows users to explore a city area while collaboratively visualizing noise levels in real-time. The software combines the sound levels with GPS data in order to generate a map of sound levels that were encountered during a journey. We report early findings from the trials which have been carried out by cycling couriers who were given Nokia mobile phones equipped with the NoiseSpy software to collect noise data around Cambridge city. Indications are that, not only is the functionality of this personal environmental sensing tool engaging for users, but aspects such as personalization of data, contextual information, and reflection upon both the data and its collection, are important factors in obtaining and retaining their interest.

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NoiseSPY: A Real-Time Mobile Phone Platform for Urban Noise Monitoring and Mapping
E. Kanjo.
Mobile Networks and Applications 15 (4): 562--574 (Август 2010)

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NoiseSPY: A Real-Time Mobile Phone Platform for Urban Noise Monitoring and MappingE. Kanjo. Mobile Networks and Applications 15 (4): 562--574 (Август 2010)

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NoiseSPY: A Real-Time Mobile Phone Platform for Urban Noise Monitoring and Mapping
E. Kanjo.
Mobile Networks and Applications 15 (4): 562--574 (Август 2010)